Estimation of a Single Effect Size: Parametric and Nonparametric Methods
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Small-sample adjustment used Hedges g.
“We adjusted the effect size for small samples using Hedges g (Hedges & Olkin, 1985).”
From Working Memory Training Does Not Improve Performance on Measures of Intelligence or Other Measures of “Far Transfer” (2016) · cites this paper as Hedges & Olkin, 1985
Multivariate meta-analysis requires within-study correlation statistics which are not available in any initially-identified studies.
“Multivariate meta‐analysis is the most common approach for addressing dependence among estimates (see Gleser & Olkin, 2009; Hedges & Olkin, 1985; Raudenbush, Becker, & Kalaian, 1988), but it requires within‐study correlation statistics (Becker, Hedges, & Pigott, 2004; Jackson, Riley, & White, 2011) which are not available for which are not available in any initially‐identified studies.”
From PROTOCOL: Single-track year-round education for improving academic achievement in us k-12 schools: results of a meta-analysis (2018) · cites this paper as Hedges & Olkin, 1985
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Cited by 983
- Authors
- Hedges, L. V., & Olkin, I.
- Affiliations
- University of Chicago (US)
- Stanford University (US)
- ORCID
- Hedges, Larry V.
- Venue
- Statistical Methods for Meta-Analysis
- Publisher
- Elsevier
- Published
- 1985
- Pages
- 75-106
- OpenAlex
- W200563459
- Cited by
- 983
- References
- 0
- Citations by year
- 2026: 31 · 2025: 50 · 2024: 65 · 2023: 72 · 2022: 79 · 2021: 53 · 2020: 52 · 2019: 36 · 2018: 42 · 2017: 27 · 2016: 45 · 2015: 31 · 2014: 42 · 2013: 37 · 2012: 38
- FWCI
- 45.44
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Elsevier eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- effect size estimation, standardized mean difference, point estimators, small sample properties, large sample properties, normal distribution model, multiplicative constants, meta-analysis
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